Nicola Rieke

2.8k total citations
11 papers, 454 citations indexed

About

Nicola Rieke is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nicola Rieke has authored 11 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nicola Rieke's work include Artificial Intelligence in Healthcare and Education (2 papers), Medical Image Segmentation Techniques (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Nicola Rieke is often cited by papers focused on Artificial Intelligence in Healthcare and Education (2 papers), Medical Image Segmentation Techniques (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Nicola Rieke collaborates with scholars based in United Kingdom, United States and Germany. Nicola Rieke's co-authors include M. Jorge Cardoso, Fausto Milletarì, Daguang Xu, Wenqi Li, Maximilian Baust, Sébastien Ourselin, Yan Cheng, Wentao Zhu, Andrew Feng and Shadi Albarqouni and has published in prestigious journals such as Investigative Ophthalmology & Visual Science, Medical Image Analysis and Lecture notes in computer science.

In The Last Decade

Nicola Rieke

11 papers receiving 440 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Nicola Rieke United Kingdom	5	326	149	90	55	38	11	454
Shivam Kalra Canada	8	341 1.0×	137 0.9×	96 1.1×	49 0.9×	19 0.5×	17	453
Talha Meraj Pakistan	13	219 0.7×	240 1.6×	122 1.4×	26 0.5×	42 1.1×	24	576
Alexander Ziller Germany	5	297 0.9×	106 0.7×	43 0.5×	101 1.8×	33 0.9×	8	420
Xuechen Li China	12	192 0.6×	264 1.8×	152 1.7×	16 0.3×	38 1.0×	38	494
Niranjan Balachandar United States	5	191 0.6×	161 1.1×	32 0.4×	78 1.4×	21 0.6×	8	317
Orazio Gambino Italy	11	88 0.3×	122 0.8×	142 1.6×	25 0.5×	33 0.9×	39	358
Yaman Afadar United Arab Emirates	5	163 0.5×	89 0.6×	30 0.3×	14 0.3×	20 0.5×	9	254
Tianyu Han Germany	12	243 0.7×	245 1.6×	101 1.1×	132 2.4×	43 1.1×	19	552

Countries citing papers authored by Nicola Rieke

Since Specialization

Citations

This map shows the geographic impact of Nicola Rieke's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nicola Rieke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicola Rieke more than expected).

Fields of papers citing papers by Nicola Rieke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicola Rieke. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nicola Rieke. The network helps show where Nicola Rieke may publish in the future.

Co-authorship network of co-authors of Nicola Rieke

This figure shows the co-authorship network connecting the top 25 collaborators of Nicola Rieke. A scholar is included among the top collaborators of Nicola Rieke based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nicola Rieke. Nicola Rieke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Koch, Lisa M., M. Jorge Cardoso, Enzo Ferrante, et al.. (2023). Domain Adaptation and Representation Transfer. Lecture notes in computer science. 2 indexed citations

Kamnitsas, Konstantinos, Lisa M. Koch, Mobarakol Islam, et al.. (2022). Domain Adaptation and Representation Transfer. Lecture notes in computer science. 1 indexed citations

Dorent, Reuben, Aaron Kujawa, Jonathan Shapey, et al.. (2021). Cross-Modality Domain Adaptation for Medical Image Segmentation. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

Albarqouni, Shadi, M. Jorge Cardoso, Qi Dou, et al.. (2021). Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health. Lecture notes in computer science. 17 indexed citations

Albarqouni, Shadi, Spyridon Bakas, Konstantinos Kamnitsas, et al.. (2020). Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning. Lecture notes in computer science. 42 indexed citations

Wang, Qian, Fausto Milletarì, Hien Van Nguyen, et al.. (2019). Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings. 4 indexed citations

Li, Wenqi, Fausto Milletarì, Daguang Xu, et al.. (2019). Privacy-Preserving Federated Brain Tumour Segmentation. Lecture notes in computer science. 11861. 133–141. 294 indexed citations

Wang, Qian, Fausto Milletarì, Hien Van Nguyen, et al.. (2019). Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data. Lecture notes in computer science. 63 indexed citations

Rieke, Nicola, M. Ali Nasseri, Mathias Maier, et al.. (2018). Injection Assistance via Surgical Needle Guidance using Microscope-Integrated OCT (MI-OCT). Investigative Ophthalmology & Visual Science. 59(9). 287–287. 2 indexed citations

10.

Rieke, Nicola, David Joseph Tan, Federico Tombari, et al.. (2016). Real-time localization of articulated surgical instruments in retinal microsurgery. Medical Image Analysis. 34. 82–100. 27 indexed citations

11.

Rieke, Nicola, Christoph Hennersperger, Diana Mateus, & Nassir Navab. (2014). Ultrasound interactive segmentation with tensor-graph methods. HAL (Le Centre pour la Communication Scientifique Directe). 18. 690–693. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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